Compressing Repeated Content within Large-Scale Remote Sensing Images
We propose a progressive texture compression framework to reduce the memory and bandwidth cost by compressing repeated content within and among large-scale remote sensing images. We further propose a descriptor to accelerate the similarity search.
Jun 1, 2012
Factoring Repeated Content within and among Images
We reduce transmission bandwidth and memory space for images by factoring their repeated content. Eliminating redundant content lets us include textures that are several times as large in the same memory space.
Aug 1, 2008